The California Neighborhoods Data System: a new resource for examining the impact of neighborhood characteristics on cancer incidence and outcomes in populations
The California Neighborhoods Data System: a new resource for examining the impact of neighborhood characteristics on cancer incidence and outcomes in populations
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DOI：
10.1007/s10552-011-9736-5
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发表时间：
2011-04-01
影响因子：
2.3
通讯作者：
Satariano, William A.
中科院分区：
文献类型：
--
作者：
Gomez, Scarlett Lin;Glaser, Sally L.;Satariano, William A.
关于社区和健康的研究一直在增加。然而，研究尚未调查具体的社区措施，包括社会经济和建筑环境，与癌症发病率或结果的关系。我们开发了加州社区数据系统（CNDS），这是一个综合系统，用于衡量加州的社会经济和建筑环境，可以很容易地与个人层面的地理编码记录联系起来。CNDS包括社会经济地位、人口密度、种族居住隔离、民族飞地、到医院的距离、可步行目的地和街道连通性等指标。将CNDS与加州癌症登记处的地理编码癌症患者信息联系起来，我们展示了7,049个加州人口普查区的社区社会经济地位和主要种族/民族以及患者种族/民族的CNDS测量的可变性。CNDS为癌症流行病学和控制提供了一种高效且具有成本效益的资源。它扩展了我们理解社区在癌症发病率和结果方面的作用的能力。这些额外的背景测量与癌症登记数据结合使用，使跨学科的“细胞到社会”研究成为可能，这种研究现在被认为是解决癌症发病率和结局的人口差异所必需的。
Research on neighborhoods and health has been growing. However, studies have not investigated the association of specific neighborhood measures, including socioeconomic and built environments, with cancer incidence or outcomes. We developed the California Neighborhoods Data System (CNDS), an integrated system of small area-level measures of socioeconomic and built environments for California, which can be readily linked to individual-level geocoded records. The CNDS includes measures such as socioeconomic status, population density, racial residential segregation, ethnic enclaves, distance to hospitals, walkable destinations, and street connectivity. Linking the CNDS to geocoded cancer patient information from the California Cancer Registry, we demonstrate the variability of CNDS measures by neighborhood socioeconomic status and predominant race/ethnicity for the 7,049 California census tracts, as well as by patient race/ethnicity. The CNDS represents an efficient and cost-effective resource for cancer epidemiology and control. It expands our ability to understand the role of neighborhoods with regard to cancer incidence and outcomes. Used in conjunction with cancer registry data, these additional contextual measures enable the type of transdisciplinary, "cells-to-society" research that is now being recognized as necessary for addressing population disparities in cancer incidence and outcomes.